AI to dominate technology trends in 2024


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Artificial intelligence and intelligent application-development trends will impact the enterprise the most in 2024, says research firm Gartner, which unveiled its annual look at the top strategic technology trends that organisations need to prepare for in the coming year.

“A lot of the trends are around AI development, but also in protecting the investment that organisations have already made. For example, they’ve invested in machine learning, natural language. And there’s a ramp up in software engineering right now where people are building more things because they have access to that data and the development tools are getting better,” said Chris Howard, distinguished vice president analyst and chief of research, during his presentation of this year’s trends list at Gartner’s flagship IT Symposium/Xpo conference in Orlando, Florida.

Deriving business value from AI and other investments requires a disciplined approach to adoption and close attention to risks, Howard said. “With the unrelenting interest and increased investment in all things AI, the pressure is on enterprises to actually make this stuff work,” Howard said.

Gartner’s top strategic technology trends for 2024 are:

Democratised generative AI

“Generative AI (GenAI) is becoming democratised by the confluence of massively pretrained models, cloud computing and open source, making these models accessible to workers worldwide,” Gartner stated. By 2026, more than 80 per cent of enterprises will have used GenAI APIs or models or deployed GenAI-enabled applications in production environments, up from less than 5 per cent in 2023, according to the firm.

GenAI applications can make vast sources of internal and external information accessible to business users, which will significantly democratise knowledge and skills in the enterprise. Large language models let enterprises connect their workers with knowledge in a conversational style with rich semantic understanding.

AI trust, risk and security management

The democratisation of access to AI has made the need for what Gartner calls AI trust, risk and security management (TRiSM) more urgent.

“Without guardrails, AI models can rapidly generate compounding negative effects that spin out of control, overshadowing any positive performance and societal gains that AI enables. AI TRiSM provides tooling for ModelOps, proactive data protection, AI-specific security, model monitoring – including monitoring for data drift, model drift, and/or unintended outcomes – and risk controls for inputs and outputs to third-party models and applications,” Gartner stated.

Gartner predicts that by 2026, enterprises that apply AI TRiSM controls will increase the accuracy of their decision making by eliminating up to 80 per cent of faulty and illegitimate information.

AI-augmented development

“AI-augmented development is the use of AI technologies, such as GenAI and machine learning, to aid software engineers in designing, coding and testing applications. AI-assisted software engineering improves developer productivity and enables development teams to address the increasing demand for software to run the business. These AI-infused development tools allow software engineers to spend less time writing code, so they can spend more time on more strategic activities such as the design and composition of compelling business applications,” Gartner stated.

Intelligent applications

“Intelligent applications include intelligence – which Gartner defines as learned adaptation to respond appropriately and autonomously – as a capability. This intelligence can be utilised in many use cases to better augment or automate work. As a foundational capability, intelligence in applications comprises various AI-based services, such as machine learning, vector stores and connected data. Consequently, intelligent applications deliver experiences that dynamically adapt to the user,” Gartner stated.

In a survey of CEOs and senior business executives, 26 per cent cited the talent shortage as the most damaging risk for their organization. Attracting and retaining talent is CEOs’ top workforce priority, while AI was named the technology that will most significantly impact their industries over the next three years, Gartner reported.


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